System and method for transforming vernacular pronunciation

Abstract

Provided is a system and method for transforming vernacular pronunciation with respect to Hanja using a statistical method. In a system for transforming vernacular pronunciation, a vernacular pronunciation extracting unit extracts a vernacular pronunciation with respect to a Hanja character string, a statistical data determining unit determines a statistical data with respect to the Hanja character string by using statistical data of features related to a Hanja-vernacular pronunciation transformation, and a vernacular pronunciation transforming unit transforms the Hanja character string into a vernacular pronunciation using the extracted vernacular pronunciation and the determined statistical data.

What is claimed is: 
     
         1 . A system for transforming vernacular pronunciation, the system comprising:
 a vernacular pronunciation extracting unit to extract a vernacular pronunciation with respect to a Hanja character string;   a statistical data determining unit to determine statistical data with respect to the Hanja character string by using statistical data of features related to a Hanja-vernacular pronunciation transformation; and   a vernacular pronunciation transforming unit to transform the Hanja character string into a vernacular pronunciation using the extracted vernacular pronunciation and the determined statistical data.   
     
     
         2 . The system of  claim 1 , wherein the vernacular pronunciation extracting unit extracts the vernacular pronunciation using a Hanja-vernacular pronunciation table that includes vernacular pronunciations for respective Hanja characters. 
     
     
         3 . The system of  claim 1 , further comprising:
 a code normalizing unit to normalize a code of the Hanja character string including a heteronymous Hanja character with a same form and different codes,   wherein the vernacular pronunciation extracting unit extracts the vernacular pronunciation with respect to the Hanja character string of which the code is normalized.   
     
     
         4 . The system of  claim 3 , wherein the code normalizing unit normalizes the code of the Hanja character string by transforming the heteronymous Hanja character into a representative Hanja character. 
     
     
         5 . The system of  claim 1 , wherein the statistical data determining unit determines the statistical data with respect to the Hanja character string by using statistical data extracted from data in which the Hanja and the vernacular are represented together and corresponds to features with respect to the Hanja-vernacular transformation. 
     
     
         6 . The system of  claim 1 , wherein the statistical data determining unit determines a syllable probability and a transition probability with respect to a syllable of the vernacular pronunciation related to the Hanja character string. 
     
     
         7 . The system of  claim 1 , wherein the vernacular pronunciation transforming unit determines the vernacular pronunciation having the maximum probability of the vernacular pronunciation to be transformed with respect to the Hanja character string. 
     
     
         8 . The system of  claim 7 , wherein the vernacular pronunciation transforming unit transforms the Hanja character string into the vernacular pronunciation based on a Hidden Markov Model. 
     
     
         9 . The system of  claim 8 , wherein the vernacular pronunciation transforming unit transforms the Hanja character string into the vernacular pronunciation having an optimal path with respect to the Hanja character string by applying a Viterbi algorithm to Hanja character strings that are repeatedly processed. 
     
     
         10 . A method for transforming vernacular pronunciation, the method comprising:
 extracting a vernacular pronunciation with respect to a Hanja character string;   determining statistical data with respect to the Hanja character string by using statistical data of features related to a Hanja-vernacular pronunciation transformation; and   transforming the Hanja character string into a vernacular pronunciation using the extracted vernacular pronunciation and the determined statistical data.   
     
     
         11 . The method of  claim 10 , wherein the extracting the vernacular pronunciation comprises:
 extracting the vernacular pronunciation using a Hanja-vernacular pronunciation table that includes vernacular pronunciations for respective Hanja characters.   
     
     
         12 . The method of  claim 11 , further comprising normalizing a code of the Hanja character string including a heteronymous Hanja character with a same form and different codes,
 wherein the extracting the vernacular pronunciation with respect to the Hanja character string comprises extracting the vernacular pronunciation with respect to the Hanja character string of which the code is normalized.   
     
     
         13 . The method of  claim 12 , wherein the normalizing the code of the Hanja character string comprises:
 normalizing the code of the Hanja character string by transforming the heteronymous Hanja character into a representative Hanja character.   
     
     
         14 . The method of  claim 10 , wherein the determining the statistical data with respect to Hanja character string comprises:
 determining the statistical data with respect to the Hanja character string by using statistical data extracted from data in which the Hanja and the vernacular are represented together and corresponds to features with respect to the Hanja-vernacular transformation.   
     
     
         15 . The method of  claim 10 , wherein the determining the statistical data with respect to Hanja character string comprises:
 determining a syllable probability and a transition probability with respect to a syllable of the vernacular pronunciation related to the Hanja character string.   
     
     
         16 . The method of  claim 10 , wherein the transforming the Hanja character string into the vernacular pronunciation comprises:
 determining a vernacular pronunciation having the maximum probability of the vernacular pronunciation to be transformed with respect to the Hanja character string.   
     
     
         17 . The method of  claim 16 , wherein the transforming the Hanja character string into the optimal vernacular pronunciation comprises:
 transforming the Hanja character string into the vernacular pronunciation based on a Hidden Markov Model.   
     
     
         18 . The method of  claim 17 , wherein the transforming the Hanja character string into the optimal vernacular pronunciation comprises:
 transforming the Hanja character string into the vernacular pronunciation having an optimal path with respect to the Hanja character string by applying a Viterbi algorithm to Hanja character strings that are repeatedly processed.   
     
     
         19 . A non-transitory computer-readable medium in which a program for performing the method of  claim 10  is recorded. 
     
     
         20 . A method for transforming vernacular pronunciation, the method comprising:
 extracting a vernacular pronunciation with respect to a character string;   determining statistical data with respect to the character string by using statistical data of features related to a language-vernacular pronunciation transformation; and   transforming the character string into a vernacular pronunciation using the extracted vernacular pronunciation and the determined statistical data.